Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
大多數用於圖像分割和標記最早進的技術都使用了在像素或圖像區域上的條件隨機場。算法 本文中在圖像的全部像素總中定義全鏈接CRF模型。這樣會產生數十億的邊緣，使得傳統算法難以求解，針對這一問題本文提出了用於全鏈接CRF模型的高效近似推斷算法，用來求解。數組 其中PEP(pairwise edge potentials)是有高斯核的線性組合定義的。用來描述標籤和標籤之間關係的特徵函數。app 1 Int
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